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V Hans,
- Research Professor, Department of Management &Commerce, Srinivas University, Mangalore, Karnataka, India
Abstract
The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as environmental monitoring, smart cities, and the Internet of Things (IoT). In this article, we explore the core concepts of SSW, including ontologies, semantic annotation frameworks, and reasoning engines, and review current applications and ongoing research challenges. We also highlight the potential of SSW to enable context-aware decision-making and intelligent data fusion, laying the groundwork for more adaptive and responsive sensor-based systems.
Keywords: Semantic Sensor Web (SSW), Sensor Networks, Ontology Integration, Semantic Interoperability, Real-time Sensor Data Processing
[This article belongs to Recent Trends in Sensor Research & Technology ]
V Hans. Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW). Recent Trends in Sensor Research & Technology. 2025; 12(02):-.
V Hans. Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW). Recent Trends in Sensor Research & Technology. 2025; 12(02):-. Available from: https://journals.stmjournals.com/rtsrt/article=2025/view=0
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Recent Trends in Sensor Research & Technology
| Volume | 12 |
| Issue | 02 |
| Received | 10/05/2025 |
| Accepted | 13/05/2025 |
| Published | 26/06/2025 |
| Publication Time | 47 Days |
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